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Caspersen, Joakim; Frølich, Nicoline; Karlsen, Hilde; Aamodt, Per Olaf – Quality in Higher Education, 2014
Learning outcomes of higher education are a quality tool in a changing higher education landscape but cannot be seen as neutral measures across professions and disciplines. Survey results from graduates and recent graduates indicate that prevailing measures of learning outcomes yield the same result within and across disciplinary and professional…
Descriptors: Measurement, Higher Education, College Graduates, College Outcomes Assessment
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Cumming, Jennifer; Woodcock, Charlotte; Cooley, Sam J.; Holland, Mark J. G.; Burns, Victoria E. – Assessment & Evaluation in Higher Education, 2015
The aim of the present study was to develop and provide psychometric evidence in support of the groupwork skills questionnaire (GSQ) for measuring task and interpersonal groupwork skills. A 46-item version of the GSQ was initially completed by 672 university students. The number of items was reduced to 15 following exploratory factor analyses, and…
Descriptors: Questionnaires, Test Construction, Test Validity, Skills
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Elkins, Daniel J.; Forrester, Scott A.; Noel-Elkins, Amelia V. – College Student Journal, 2011
Out-of-class involvement provides students with opportunities for rich social lives which, according to Cheng (2004), are closely associated with sense of campus community. Based on Astin's (1984) Theory of Involvement, and Boyer's (1990) principles of community, the purpose of this study was to examine how involvement in out-of-class activities…
Descriptors: Factor Analysis, Class Activities, Administrators, Factor Structure
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Kooken, Janice; Welsh, Megan E.; McCoach, D. Betsy; Johnston-Wilder, Sue; Lee, Clare – Measurement and Evaluation in Counseling and Development, 2016
The Mathematical Resilience Scale measures students' attitudes toward studying mathematics, using three correlated factors: Value, Struggle, and Growth. The Mathematical Resilience Scale was developed and validated using exploratory and confirmatory factor analyses across three samples. Results provide a new approach to gauge the likelihood of…
Descriptors: Mathematics, Mathematics Instruction, Student Attitudes, Thinking Skills
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Borg, Ingwer; Staufenbiel, Thomas – Multivariate Behavioral Research, 1992
The representation of multivariate data by icons is discussed. The factorial sun is suggested as superior to the commonly used snowflake or sun icons and as better representing the values of the different variables and their correlational structure. Two experiments with 60 college students demonstrate the factorial sun's superiority. (SLD)
Descriptors: College Students, Comparative Analysis, Computer Oriented Programs, Correlation
Sutarso, Toto; And Others – 1996
The effect of gender and grade point average (GPA) on emotional intelligence (EQ) was studied using the Emotional Intelligence Inventory. The inventory was completed by 138 college students, and data were analyzed using a multivariate factorial model with three factors of EQ as dependent variables (compassion, self-awareness, and attunement) and…
Descriptors: Affective Behavior, College Students, Emotional Intelligence, Emotional Response
Davis, Richard W. – 1977
A method for statistical analysis of semantic differential data in educational evaluation is discussed. Estimated scores for unobserved affective variables are obtained using the canonical factor regression method. This method overcomes previous prolems of bias and inefficiency in computing composite affective indices. In an application of the…
Descriptors: Affective Behavior, Affective Measures, Course Evaluation, Factor Analysis
Zhang, Zhicheng; RiCharde, R. Stephen – 1997
A study was conducted to examine the validity of the Learning-Thinking Style Inventory (LTSI) and to investigate the learning and thinking styles of college students in relation to their major and academic performance. Generated out of the framework of personality model and information processing theory, the 49-item LTSI embraces a broad spectrum…
Descriptors: Academic Achievement, Cognitive Style, College Students, Engineering